Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2024Actionable workflows for fusion neutronics simulation.citations
  • 2021Non-local modelling of heat conduction with phase changecitations
  • 20204D characterisation of damage and fracture mechanisms of ultra high performance fibre reinforced concrete by in-situ micro X-Ray computed tomography tests55citations
  • 20184D Imaging of Soft Tissue and Implanted Biomaterial Mechanics; A Barbed-Suture Case Study for Tendon Repair6citations
  • 2018Modelling fracture in heterogeneous materials on HPC systems using a hybrid MPI/Fortran coarray multi-scale CAFE framework11citations
  • 2018Multiscale CAFE for fracture in heterogeneous materials under dynamic loading conditionscitations
  • 2017Multi-scale CAFE framework for simulating fracture in heterogeneous materials implemented in fortran co-arrays and MPI3citations
  • 2017Micro X-ray Computed Tomography Image-based Two-scale Homogenisation of Ultra High Performance Fibre Reinforced Concrete93citations
  • 2009A finite element approach to the biomechanics of dromaeosaurid dinosaur clawscitations
  • 2008Investigating predictive capabilities of image-based modeling for woven composites in a scalable computing environmentcitations

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Woolland, Oliver
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Lowe, Douglas
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Miao, Zeyuan
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Barker, Adam
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Smith, William
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Sedighi, Majid
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Nikolaev, Petr
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Jivkov, Ap
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Peng, Y. Z.
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Qsymah, Ansam
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Mummery, Pm
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Manning, P. L.
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Johnson, M.
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Mustansar, Z.
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Sheikh, M.
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Calvo, F.
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Chart of publication period
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Co-Authors (by relevance)

  • Woolland, Oliver
  • Lowe, Douglas
  • Miao, Zeyuan
  • Barker, Adam
  • Smith, William
  • Sedighi, Majid
  • Nikolaev, Petr
  • Jivkov, Ap
  • Peng, Y. Z.
  • Yang, Z. J.
  • Sharma, R.
  • Qsymah, A.
  • Lowe, Tristan
  • Obrien, Marie
  • Rawson, Shelley Dyan
  • Shearer, Tom
  • Cartmell, Sarah
  • Wong, Jason
  • Cebamanos, Luis
  • Shterenlikht, Anton
  • Revell, Alistair
  • Hewitt, Sam
  • Arregui-Mena, Jose D.
  • Qsymah, Ansam
  • Mummery, Pm
  • Yang, Z.
  • Manning, P. L.
  • Johnson, M.
  • Mustansar, Z.
  • Sheikh, M.
  • Calvo, F.
  • Farooqi, J.
OrganizationsLocationPeople

article

4D Imaging of Soft Tissue and Implanted Biomaterial Mechanics; A Barbed-Suture Case Study for Tendon Repair

  • Lowe, Tristan
  • Obrien, Marie
  • Rawson, Shelley Dyan
  • Shearer, Tom
  • Cartmell, Sarah
  • Margetts, Lee
  • Wong, Jason
Abstract

<p>Timely, recent developments in X-ray micro-computed tomography (XµCT) imaging such as increased resolution and improved sample preparation are enabling non-destructive time lapse imaging of polymeric biomaterials when implanted in soft tissue, which we demonstrate herein. Imaging the full 3D structure of an implanted biomaterial provides new opportunities to assess micromechanics of the interface between implant and tissues, and how this changes over time as force is applied in load bearing musculoskeletal applications. In this paper we present a case study demonstrating in situ XµCT and FE analysis, using a dynamically loaded barbed suture repair for its novel use in tendon tissue. The aim of this study was to identify the distribution of stress in the suture and tendon as load is applied. The data gained demonstrates clear 3D visualization of micro-scale features in both the tissue and implant in wet conditions. XµCT imaging has revealed, for the first time, pores around the suture, preventing full engagement of all the barbs with the tendon tissue. Subsequent finite element analysis reveals the localized stress and strain, which is not evenly distributed along the suture, or throughout the tissue. This case study demonstrates for the first time a powerful in situ mechanical imaging tool, which could be readily adapted by other laboratories to interrogate and optimize the interface between implanted biomaterials and soft tissue.</p>

Topics
  • impedance spectroscopy
  • pore
  • tomography
  • biomaterials
  • finite element analysis